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https://issues.apache.org/jira/browse/SPARK-7689?page=com.atlassian.jira.plugin.system.issuetabpanels:comment-tabpanel&focusedCommentId=15075579#comment-15075579
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Apache Spark commented on SPARK-7689:
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User 'JoshRosen' has created a pull request for this issue:
https://github.com/apache/spark/pull/10534
> Remove TTL-based metadata cleaning (spark.cleaner.ttl)
> ------------------------------------------------------
>
> Key: SPARK-7689
> URL: https://issues.apache.org/jira/browse/SPARK-7689
> Project: Spark
> Issue Type: Improvement
> Components: Spark Core
> Reporter: Josh Rosen
> Assignee: Josh Rosen
>
> With the introduction of ContextCleaner, I think there's no longer any reason
> for most users to enable the MetadataCleaner / {{spark.cleaner.ttl}} (except
> perhaps for super-long-lived Spark REPLs where you're worried about orphaning
> RDDs or broadcast variables in your REPL history and having them never get
> cleaned up, although I think this is an uncommon use-case). I think that
> this property used to be relevant for Spark Streaming jobs, but I think
> that's no longer the case since the latest Streaming docs have removed all
> mentions of {{spark.cleaner.ttl}} (see
> https://github.com/apache/spark/pull/4956/files#diff-dbee746abf610b52d8a7cb65bf9ea765L1817,
> for example).
> See
> http://apache-spark-user-list.1001560.n3.nabble.com/is-spark-cleaner-ttl-safe-td2557.html
> for an old, related discussion. Also, see
> https://github.com/apache/spark/pull/126, the PR that introduced the new
> ContextCleaner mechanism.
> For Spark 2.0, I think we should remove {{spark.cleaner.ttl}} and the
> associated TTL-based metadata cleaning code.
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